ML training clusters are some of the most high performance computers on the planet. Even relatively small clusters would have been in the TOP500 5 years ago. Our supercomputing team is responsible for keeping our compute clusters running smoothly, monitoring hardware health, participating in on-call rotation, and fixing things when they go wrong. We believe strongly in automation code is the only reliable way to manage hardware at scale. As we scale, this will become a more data-driven role, predicting failures before they happen. We're a small team, so you'll be spending time talking to customers as well.
You've managed at least one GPU training cluster in the past (ideally a cluster with more than 1k GPU's but not required)
You deeply understand Linux, networking fundamentals, CUDA, NCCL, and Infiniband
You enjoy automating hardware deployments, leveraging IaC wherever possible
You appreciate and value good documentation
Experience with Rust (our bare metal tooling is written in Rust)
Experience with Linux virtualization (KVM, QEMU, libvirt, etc.)
Experience with Kubernetes implementation including CRD's and CNI's
Experience with HPC network architectures (eBGP, fat-tree, VXLAN, MCLAG, etc.)
Compensation
US: $170k - $300k + equity
Team members are offered a competitive salary along with equity in the company
Yes, we sponsor visas and work permits
We match 401(k) plans up to 4%
We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums
We offer unlimited paid time off as well as 10+ observed holidays
We offer biological, adoptive, and foster parents paid time off to spend quality time with family
We cover lunch daily for employees
You can buy as many books for the office as you want
The San Francisco Compute Company is committed to maintaining a workplace free from discrimination and harassment.
We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethical origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.
We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco's Fair Chance Ordinance and California's ban-the-box laws.
If you require reasonable accommodation for any reason, please reach out to us at team@sfcompute.com.
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